PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-29 10:22:49.386083+00:00 (UTC)
In US/Central Time, this is 2024-05-29 05:22:49.386083-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/69a2d08b73818108b24a825512bfc5acc3ae9151e061d62a1f3130e1fb214ea8.png
We are just generating a random time serie here.
../_images/6cfc45195040e6bbb4506334091eed0311e558b80b045129469898cf5b4a14f9.png
../_images/bc47995116d900bccfd46633c42a28f0fd62a8c51bbc4241d9ff27d75f0ea255.png